MOBILE EDGE COMPUTING-ENABLED 5G VEHICULAR NETWORKS Toward the Integration of Communication and Computing

被引：81
|
作者：
Ning, Zhaolong [1 ,2 ,3 ]
Wang, Xiaojie [4 ]
Huang, Jun [2 ]
机构：
[1] Dalian Univ Technol, Sch Software, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing, Peoples R China
[3] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Jiangsu, Peoples R China
[4] Dalian Univ Technol, Sch Software, Dalian, Peoples R China
来源：
IEEE VEHICULAR TECHNOLOGY MAGAZINE | 2019年 / 14卷 / 01期
基金：
中国国家自然科学基金;
关键词：
15;
D O I：
10.1109/MVT.2018.2882873
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To meet the requirements of real-time and missioncritical applications in vehicular networks, mobile edge computing (MEC) has become an emerging ecosystem that extends the centralized cloud computing capability to the edge close to terminal devices. Although MEC can bring various benefits, such as high-efficiency use of mobile backhaul networks, coping with the ever-increasing demands of ubiquitous connectivity, energy-efficient computation, and ultralow latency is still challenging. Nonorthogonal multiple access (NOMA) technology is acknowledged as a promising solution to provide massive connectivity and ubiquitous communications in 5G. © 2005-2012 IEEE.
引用
收藏
页码：54 / 61
页数：8
相关论文
共 50 条
  • [1] Mobile Edge Computing-Enabled Heterogeneous Networks
    Park, Chanwon
    Lee, Jemin
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (02) : 1038 - 1051
  • [2] Interference Aware Cooperative Routing for Edge Computing-Enabled 5G Networks
    Waqas, Abdullah
    Mahmood, Hasan
    Saeed, Nasir
    IEEE Sensors Journal, 2022, 22 (04): : 3777 - 3784
  • [3] Interference Aware Cooperative Routing for Edge Computing-Enabled 5G Networks
    Waqas, Abdullah
    Mahmood, Hasan
    Saeed, Nasir
    IEEE SENSORS JOURNAL, 2022, 22 (04) : 3777 - 3784
  • [4] An Edge Computing-Enabled Decentralized Authentication Scheme for Vehicular Networks
    Wang, Qianpeng
    Gao, Deyun
    Foh, Chuan Heng
    Leung, Victor C. M.
    ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
  • [5] Joint Task Offloading and Resource Allocation in Mobile Edge Computing-Enabled Medical Vehicular Networks
    Zhang, Chuangchuang
    Liu, Siquan
    Yang, Hongyong
    Cui, Guanghai
    Li, Fuliang
    Wang, Xingwei
    MATHEMATICS, 2025, 13 (01)
  • [6] EXPLORING MOBILE EDGE COMPUTING FOR 5G-ENABLED SOFTWARE DEFINED VEHICULAR NETWORKS
    Huang, Xumin
    Yu, Rong
    Kang, Jiawen
    He, Yejun
    Zhang, Yan
    IEEE WIRELESS COMMUNICATIONS, 2017, 24 (06) : 55 - 63
  • [7] THE NEED FOR MOBILE EDGE COMPUTING IN 5G NETWORKS
    Singh, Bhawna
    Journal of the Institute of Telecommunications Professionals, 2022, 16 : 23 - 30
  • [8] Energy-Efficient Computation Offloading with Privacy Preservation for Edge Computing-Enabled 5G Networks
    Liu, Xihua
    Xu, Xiaolong
    Yuan, Yuan
    Zhang, Xuyun
    Doug, Wanchun
    2019 INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2019, : 176 - 181
  • [9] Energy-Efficient Cooperative Offloading for Edge Computing-Enabled Vehicular Networks
    Cho, Hewon
    Cui, Ying
    Lee, Jemin
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 21 (12) : 10709 - 10723
  • [10] Proactive caching for edge computing-enabled industrial mobile wireless networks
    Li, Xiaomin
    Wan, Jiafu
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 89 : 89 - 97
12345